[krtong]

i havent come to a personal conclusion on if its even a feat of engineering. Im impressed by amazon’s handling of logistics, and I do think consumer data helps Amazon know when and where products are most likely to sell, perhaps even upsell customers or get customers to agree to a steeper markup, but beyond that, i don’t think actual predictive models of consumer behavior has really been achieved here. Ive never gotten a sense that amazon intuits my consumer habits and ive made a lot of purchases over the years. i dont think amazon has made a dime on storing timestamps for when i turned a page on a kindle or learned anything from the music i listened to. ive never bought a single recommended product. On a scale of 1-10, 10 being Delos incorporated and perfectly modeling user behavior—-accurately predicting how i’ll react before I even see the products they place in front of me—and 1 being Wall-E making blocks of trash, id say this data collection is a 2.5 at best.

[willberman]

I would personally define efficacy of predictive modes to be a scientific achievement rather than engineering, but that might just be a vocab discrepancy.

Do you think it’s possible to determine how good their modeling is externally? I would assume we’d need an extensive peek behind the curtains to come to a conclusion.